Work

A compressive sampling approach for brain-machine interfaces based on transcranial Doppler sonography: A case study of resting-state maximal cerebral blood velocity signals

Year: 2013

Type: conference-paper

Source: IEEE Global Conference on Signal and Information Processing

DOI: 10.1109/globalsip.2013.6736799

Authors: Ervin Sejdic, Luis F. Chaparro

Institution: University of Pittsburgh

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2555594158

FWCI:

Cites: 27

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Related to: 10